Azure Databricks Video Training

Complete Real-time and Practical Azure Databricks Training with Real-time Scenarios. Azure Databricks‚ an Apache Spark-based analytics platform designed to make the work of data analytics easier and more collaborative.

This Azure Databricks Training includes patterns, tools, and best practices that can help developers and DevOps specialists use Azure Databricks to efficiently build big data solutions on Apache Spark in addition to Mock Interviews, Resume Guidance, Concept wise Interview FAQs and ONE Real-time Project..

Azure Databricks Training Plans

  PLAN A PLAN B PLAN C
Course includes Azure
Databricks
Power BI,
Azure Databricks
TSQL Basics,
Power BI,
Azure Databricks
No of Videos 10 Videos 28 Videos 50 Videos
Azure Databricks Intro, Configurations
Databricks: Distribute Data, ETL
Databricks: Import, Migrate Data
Databricks: Query Data, Tuning
Databricks: Structured Streaming
Databricks: Notebooks, Partitions
Databricks: Azure Delta Tables
Databricks: ADB Pools, Resources
Databricks: Monitoring, Data Access
Databricks: Azure Service Integration
Power BI: Power BI Report Design
Power BI: DAX Queries, Modeling
Power BI: Power BI Service Cloud
Power BI: Gateways, Big Data
Power BI: Excel Pivots & Tenant
Power BI: RDL & Mobile Reports
Power BI: Custom Visualizations
SQL: Database Basics, T-SQL
TSQL: Constraints, Joins, Queries
TSQL: Views, Group By, Self Joins
TSQL: Procedures, Triggers, Functions
TSQL: Triggers, Transaction Lock Hints
Total Course Fee * INR 10000
USD 136
INR 18000
USD 244
INR 22000
USD 298

Azure Databricks Training Highlights :

Data Bricks Architecture
Run Spark Jobs, ADB Workspace
Virtual Network, File System
Azure Synapse with ADB
Azure Data Bricks Pools
Azure Structured Streaming
Azure Delta Lake, delta engine

Trainer Profile : Mr. Sai Phanindra T (15+ Yrs EXP). Profile

Azure Databricks Video Training - How it works?

Real-time, Practical Training Videos, accessible 24x7. Study, Practice Material and Lab Work for every video. Trainer available for doubts clarifications and support.

Register Here For Free Demo

Azure Databricks Training Course Contents:

Ch 1: SQL SERVER INTRODUCTION

  • Data, Databases and RDBMS Software
  • Database Types : OLTP, DWH, OLAP
  • Microsoft SQL Server Advantages, Use
  • Versions and Editions of SQL Server
  • SQL : Purpose, Real-time Usage Options
  • SQL Versus Microsoft T-SQL [MSSQL]
  • Microsoft SQL Server - Career Options
  • SQL Server Components and Usage
  • Database Engine Component and OLTP
  • BI Components, Data Science Components
  • ETL, MSBI and Power BI Components
  • Course Plan, Concepts, Resume, Project
  • 24 x 7 Online Lab for Remote DB Access
  • Software Installation Pre-Requisites

Ch 5: SQL Basics - 3, T-SQL INTRO

  • Database Objects : Tables and Schemas
  • Schemas : Group Tables in Database
  • Schemas : Security Management Object
  • Creating Schemas & Batch Concept
  • Using Schemas for Table Creation
  • Data Storage in Tables with Schemas
  • Data Retreival and Usage with Schemas
  • Table Migrations across Schemas
  • Import and Export Wizard in SSMS
  • Data Imports with Excel File Data
  • Performing Bulk Operations in SSMS
  • Temporary Tables : Real-time Use
  • Local and Global Temporary Tables
  • # and ## Prefix, Scope of Usage

Ch 9: JOINS, T-SQL QUERIES Level 3

  • GetDate, Year, Month, Day Functions
  • Date & Time Styles, Data Formatting
  • DateAdd and DateDiff Functions
  • Cast and, Convert Functions in Queries
  • String Functions: SubString, Relicate
  • Len, Upper, Lower, Left and Right
  • LTrim, RTrim, CharIndex Functions
  • MERGE Statement - Comparing Tables
  • WHEN MATCHED and NOT MATCHED
  • Incremental Load with MERGE Statement
  • IIF() Function for Value Compares
  • CASE Statement : WHEN, ELSE, END
  • ROW_NUMBER() and RANK() Queries
  • Dense Rank and Partition By Queries

Ch 2: SQL SERVER INSTALLATIONS

  • System Configuration Checker Tool
  • Versions and Editions of SQL Server
  • SQL Server and SSMS Installation Plan
  • SQL Server Pre-requisites : S/W, H/W
  • SQL Server 2016 / 2017 Installation
  • SQL Server 2019 Installation
  • Instance Name and Server Features
  • Instances : Types and Properties
  • Default Instance, Named Instances
  • Port Numbers, Instance Differences
  • Service and Service Account Use
  • Authentication Modes and Logins
  • Windows Logins and SQL Logins
  • FileStream and Collation Properties

Ch 6 : CONSTRAINTS,INDEXES Basics

  • Constraints and Keys - Data Integrity
  • NULL, NOT NULL Property on Tables
  • UNIQUE KEY Constraints: Importance
  • PRIMARY KEY Constraint: Importance
  • FOREIGN KEY Constraint: Importance
  • REFERENCES, CHECK and DEFAULT
  • Candidate Keys and Identity Property
  • Database Diagrams and ER Models
  • Relationships Verification and Links
  • Indexes : Basic Types and Creation
  • Index Sorting and Search Advantages
  • Clustered and NonClustered Indexes
  • Primary Key and Unique Key Indexes
  • Need for Indexes - working with Keys

Ch 10: VIEW, SPs, Function Basics

  • Views : Types, Usage in Real-time
  • System Predefined Views and Audits
  • Listing Databases, Tables, Schemas
  • Functions : Types, Usage in Real-time
  • Scalar, Inline and Multi-Line Functions
  • System Predefined Functions, Audits
  • DBId, DBName, ObjectID, ObjectName
  • Variables & Parameters in SQL Server
  • Procedures : Types, Usage in Real-time
  • User & System Predefined Procedures
  • Parameters and Dynamic SQL Queries
  • Sp_help, Sp_helpdb and sp_helptext
  • sp_pkeys, sp_rename and sp_help
  • Important System Objects and Metadata

Ch 3: SSMS Tool, SQL BASICS - 1

  • SQL Server Management Studio
  • Local and Remote Connections
  • System Databases: Master and Model
  • MSDB, TempDB, Resource Databases
  • Creating Databases : Files [MDF, LDF]
  • Creating Tables in User Interface
  • Data Insertion & Storage. Limitations
  • SQL : Purpose and Real-time Usage
  • SQL Versus T-SQL : Basic Differences
  • DDL, DML, SELECT, DCL and TCL
  • Creating Tables using SQL Scripts
  • Data Storage, Inserts - Basic Level
  • Table Data Verifications with Select
  • SELECT Statement for Table Retrieval

Ch 7: JOINS, T-SQL Queries : Level 1

  • JOINS - Table Comparisons Queries
  • INNER JOINS For Matching Data
  • OUTER JOINS For (non) Match Data
  • Left Outer Joins with Example Queries
  • Right Outer Joins with Example Queries
  • FULL Outer Joins - Realtime Scenarios
  • Join Queries with "ON" Conditions
  • Join Unrelated Tables in SQL Server
  • NULL, IS NULL Operators in Joins
  • CROSS JOIN and CROSS APPLY
  • CROSS JOIN Versus CROSS APPLY
  • One-way & Two Way Data Comparisons
  • Important Join Queries in T-SQL
  • Join Options: Merge, Loop, Hash

Ch 11: Triggers & Transactions

  • Triggers - Purpose, Real-world Usage
  • FOR/AFTER Triggers - Real time Use
  • INSTEAD OF Triggers - Real time Use
  • INSERTED, DELETED Memory Tables
  • Using Triggers for Data Replication
  • Enable Triggers and Disable Triggers
  • Database Level, Server Level Triggers
  • Transactions : Types, ACID Properties
  • Transaction Types and AutoCommit
  • EXPLICIT & IMPLICIT Transactions
  • COMMIT and ROLLBACK Statements
  • Open Transaction Scenarios & Cause
  • Query Blocking Scenarios @ Real-time
  • NOLOCK and READPAST Lock Hints

Ch 4: SQL BASICS - 2

  • Creating Databases & Tables in SSMS
  • Single Row Inserts, Multi Row Inserts
  • Rules for Data Insertion Statements
  • SELECT Statement @ Data Retrieval
  • SELECT with WHERE Conditions
  • Batch Concept and Go Statement
  • AND and OR Operators Usage
  • IN Operator and NOT IN Operator
  • Between, Not Between Operators
  • LIKE and NOT LIKE Operators
  • UPDATE Statement & Conditions
  • DELETE & TRUNCATE Statements
  • Logged and Non-Logged Operations
  • ADD, ALTER and DROP Columns
  • ALTER & DROP Table Statements

Ch 8: Group By, T-SQL Queries Level 2

  • GROUP BY Queries and Aggregations
  • Group By Queries with Having Clause
  • Group By Queries with Where Clause
  • Using WHERE and HAVING in T-SQL
  • Rollup : Usage and T-SQL Queries
  • Cube : Usage and T-SQL Queries
  • UNION and UNION ALL Operator
  • EXISTS Operator, Query Conditions
  • Sub Queries and Alternatives to Joins
  • Using Joins with Group By Queries
  • Using Joins with Nested Sub Queries
  • Sub Queries with Joins and Group By
  • Using UNION and UNION ALL in Queries
  • Nested Sub Queries with Group By, Joins
  • Comparing WHERE, HAVING Conditions

Ch 12 : ER MODELS, NORMAL FORMS

  • Normal Forms for Entity Relationships
  • First Normal Form and Atomocity
  • Second Normal Form, Candidate Keys
  • 3rd Normal Form Multi Value Dependancy
  • Boycee-Codd Normal Form : BNCF
  • Fourth Normal Form Realtime Advantages
  • Self Joins & Self Reference Keys
  • 1:1, 1:M, M:1, M:M Relationship Types
  • Joins with Group By Queries
  • Joins with Sub Queries, Formating
  • Office Data Connections, Excel Reports
  • Excel Pivot Reports and Reports
  • SQL Queries (Auto Generated) in BI Tools
  • FETCH OFFSET, NEXT ROWS, Order By
  • Data Refresh (Manual and Automated)
Real-time Case Study - 1 (Sales & Retail)
Objective : Database Design, Table Design and Relations.
Involves Purchases, Products, Customers and Time Data with Various Data Types.
Real-time Case Study - 2 (Sales & Retail)
Objective : Queries, Excel Integration
Pivot Tables, Pivot Charts, ODC Connections

Module I: Azure Databricks

Module II: Azure Databricks

Module III: Azure Databricks

Ch 1: Introduction to Azure Databricks

  • Big Data and Distributed Computing
  • Introduction to Azure, Advantages
  • What is Spark?
  • What is Apache Spark
  • What is Scala
  • Need for Azure Data Analytics
  • Azure Data Enginer Technologies
  • Need for Azure Databricks
  • Azure Fundamentals
  • Using Azure Databricks for ETL
  • Using Azure Databricks for Analytics
  • Azure Account Creation, Validations
  • Subscription and Resource Options
  • Resource Groups, Account Access
  • Billing Options and Resource Access
  • Azure Active Directory (Azure AD)
  • Notifications, Azure Resources

Ch 4: Azure Databricks workspace in VN

  • VNet injection Options in Azure Data Bricks
  • Virtual Network Requirements, Options
  • Subnets and IP Address for Security
  • Virtual Address Space, CIDR Block
  • Public and Private Subnet Usage
  • Azure Databricks Service, Workspace
  • Network Security Groups, Arm Templates
  • Databricks Runtime Architecture
  • Databricks Runtime Architecture
  • Better Performance with DBIO
  • Stronger Security with DBES
  • Rapid releases and early access
  • Databricks’ SaaS offering
  • DATABRICKS COMPUTE ENGINES

Ch 7: Azure Synapse with ADB

  • Creating Azure Synapse Database
  • Loading Data from Azure Synapse
  • Azure Synapse connector
  • Spark Driver for Azure Synapse
  • Spark Executors for Azure Synapse
  • Azure Synapse to Azure storage
  • Global Hadoop configuration in ADB
  • ETL with Azure Data Bricks
  • ETL Workflow with Azure Data Bricks
  • Data Lake Storage Gen2 Storage
  • Service Principal Usage, ETL
  • Data Transformations and Lookups
  • Master Key and Forewall in Synapse
  • Tenant ID and Azure Active Directory
  • Authentication Keys,Connections, ETL
  • Real-time Recommendations

Ch 2: Data Bricks Architecture

  • ETL Architecture with Data Bricks
  • Apache Spark analytics platform
  • Apache Spark Eco System
  • Spark Core API in Azure DB
  • Spark SQL Data Frames
  • Streaming Options, GraphX
  • Machine Leaning Components
  • Databricks Runtime Engine
  • Enterprise security with Databricks
  • Databricks ServerLess Concepts
  • Databricks Workflow Options
  • Databricks I/O Throughput
  • Integration with Azure services
  • Integration with Azure SQL Database
  • Integration with Datawarehouse
  • Integration with Power BI

Ch 5: Azure BLOB Storage to ADB

  • Configure Azure Storage Account
  • Creating Storage Container
  • Scala notebook in Azure Databricks
  • Scala Notebooks Creations, Usage
  • Mounting Blob Storage into ADB
  • Generating SAS Connections
  • Azure Databricks File System
  • Distributed File System Options
  • Mounting Storage Objects to DBFS
  • DBFS Root, Stoage Types
  • Metadata and Mount Point Paths
  • Accessing Databricks File System
  • DBFS API and Local Access
  • Python and Scala Code for DBFS

Ch 8: Azure Data Bricks Pools

  • Azure Databricks Pools, Clusters
  • AutoScaling Options, Display Pools
  • Creating Pools, Pool Configurations
  • Pool Usage, Instance Options
  • Pool Configurations, Clusters
  • Databricks Runtime Engines
  • Pool Size and Auto Terminations
  • Structured Streaming
  • Data Streaming with ADB
  • Sensors, IoT devices, social networks
  • Data Stream, Unbounded Tables
  • Complete Mode. Append Mode
  • Update Mode, Loading Sample Data
  • Stream Initialization, Job Streaming
  • Quering a Data Stream, Spark Jobs

Ch 3: Run Spark Job in Azure Data Bricks 

  • Azure Databricks Service
  • Instance Configuration, Resouce Group
  • Workspace Details,Pricing Tier
  • Standard, Premium and Trail Editions
  • Apache Spark and Azure AD Sync
  • Azure Databricks Networking
  • Workspace Failures, Retrials
  • Spark Cluster Creation in ADB
  • Cluster Mode and Pool Options
  • DataBricks Runtime Version
  • AutoPilot and Scaling Options
  • Worker Type and Capacity
  • Driver Type, Advanced Options
  • Notebook Creation, Azure Datasets
  • PySpark and SQL DB Access

Ch 6: Azure SQL Server and ADB

  • Azure SQL Database from Azure Databricks
  • Deploying Azure SQL Server
  • Query Editor and DB Access Options
  • CSV file upload to Azure Databricks Cluster
  • Creating Scala Notebooks for Imports
  • Scala Functions, Display Options
  • Transformations, Data Load Functions
  • Loading Data from Azure Cosmos
  • Azure Cosmos DB and ADB
  • Azure Data Bricks in Virtual Network
  • Creating Azure Cosmos DB Endpoint
  • Azure Cosmos DB Primary Connections
  • Data Explorer, Container Settings
  • Azure Data Bricks Cluster Setup

Ch 9: Azure Delta Lake, delta engine

  • Azure Delta Lake and Real-time Usage
  • Creating Delta Table with Python, T-SQL
  • Creating Table using JSON and Delta
  • Data Partitions into Azure Delta Tables
  • Data Modifications and Stream Writers
  • Batch Upserts, Display Table History
  • Time Travel and Version Control
  • Table Optimization Technques
  • Table Snapshots and Real-time Use
  • DeltaLake on Azure Databricks
  • Ingest Data and Table Data Loads
  • COPY INTO SQL Command
  • Auto Loader, Table Batch Concepts
  • Schema Validations, Vacuum
  • Concurrency Control, DeltaLake FAQs

Ch 10: ADB with ADF

Azure Data Factory for ETL Operations; Azure Data Bricks for ETL Operations; Creating Datasets in Data Factory; Creating Datasets in Azure DataBricks; Creating DataFrames in Azure DataBricks; Creating Pipelines in Data Factory; Creating Pipelines in Azure DataBricks

Azure Databricks with Power BI; Using Azure Data Bricks for Data Visualizations; Azure Databricks Visualizations, Data Analytics; DataBricks Access in Power BI; Personal Access Token, Cluster Details; Spark Connections with Power BI; Power BI Navigator Options, Security

Part 1: Power BI Report Design

Part 2: ETL, Data Modeling, DAX

Part 3: Power BI Cloud, Admin

Ch 1 : POWER BI BASICS

  • Power BI Job Roles in Real-time
  • Power BI Data Analyst Job Roles
  • Business Analyst - Job Roles
  • Power BI Developer - Job Roles
  • Power BI for Data Scientists
  • Comparing MSBI and Power BI
  • Comparing Tableau and Power BI
  • MCSA 70-778, MCSA 70-779 Exam
  • Types of Reports in Real-World
  • Interactive & Paginated Reports
  • Analytical & Mobile Reports
  • Data Sources Types in Power BI
  • Power BI Licensing Plans - Types
  • Power BI Training : Lab Plan
  • Power BI Dev & Prod Environments

Ch 7 : POWER QUERY LEVEL 1

  • Power Query M Language Purpose
  • Power Query Architecture and ETL
  • Data Types, Literals and Values
  • Power Query Transformation Types
  • Table & Column Transformations
  • Text & Number Transformations
  • Date, Time and Structured Data
  • List, Record and Table Structures
  • let, source, in statements @ M Lang
  • Power Query Functions, Parameters
  • Invoke Functions, Execution Results
  • Get Data, Table Creations and Edit
  • Merge and Append Transformations
  • Join Kinds, Advanced Editor, Apply
  • ETL Operations with Power Query

Ch 13 : POWER BI CLOUD - 1

  • Power BI Service Architecture
  • Power BI Cloud Components, Use
  • App Workspaces, Report Publish
  • Reports & Related Datasets Cloud
  • Creating New Reports in Cloud
  • Report Publish and Report Uploads
  • Dashboards Creation and Usage
  • Adding Tiles to Dashboards
  • Pining Visuals and Report Pages
  • Visual Pin Actions in Dashboards
  • LIVE Page Interaction in Dashboard
  • Adding Media: Images, Custom Links
  • Adding Chs and Embed Links
  • API Data Sources, Streaming Data
  • Streaming Dataset Tiles (REST API)

Ch 2: BASIC REPORT DESIGN

  • Power BI Desktop Installation
  • Data Sources & Visual Types
  • Canvas, Visualizations and Fields
  • Get Data and Memory Tables
  • In-Memory xvelocity Database
  • Table and Tree Map Visuals
  • Format Button and Data Labels
  • Legend, Category and Grid
  • PBIX and PBIT File Formats
  • Visual Interaction, Data Points
  • Disabling Visual Interactions
  • Edit Interactions - Format Options
  • SPOTLIGHT & FOCUSMODE
  • CSV and PDF Exports. Tooltips
  • Power BI EcoSystem, Architecture

Ch 8 : POWER QUERY LEVEL 2

  • Query Duplicate, Query Reference
  • Group By and Advanced Options
  • Aggregations with Power Query
  • Transpose, Header Row Promotion
  • Reverse Rows and Row Count
  • Data Type Changes & Detection
  • Replace Columns: Text, NonText
  • Replace Nulls: Fill Up, Fill Down
  • PIVOT, UNPIVOT Transformations
  • Move Column and Split Column
  • Extract, Format and Numbers
  • Date & Time Transformations
  • Deriving Year, Quarter, Month, Day
  • Add Column : Query Expressions
  • Query Step Inserts and Step Edits

Ch 14 : POWER BI CLOUD - 2

  • Dashboards Actions,Report Actions
  • DataSet Actions: Create Report
  • Share, Metrics and Exports
  • Mobile View & Dashboard Themes
  • Q & A [Cortana] and Pin Visuals
  • Export, Subscribe, Subscribe
  • Favorite, Insights, Embed Code
  • Featured Dashboards and Refresh
  • Gateways Configuration, PBI Service
  • Gateway Types, Cloud Connections
  • Gateway Clusters, Add Data Sources
  • Data Refresh : Manual, Automatic
  • PBIEngw Service, ODG Logs, Audits
  • DataFlows, Power Query Expressions
  • Adding Entities and JSON Files

Ch 3 : Visual Sync, Grouping

  • Slicer Visual : Real-time Usage
  • Orientation, Selection Properties
  • Single & Multi Select, CTRL Options
  • Slicer : Number, Text and Date Data
  • Slicer List and Slicer Dropdowns
  • Visual Sync Limitations with Slicer
  • Disabling Slicers,Clear Selections
  • Grouping : Real-time Use, Examples
  • List Grouping and Binning Options
  • Grouping Static / Fixed Data Values
  • Grouping Dynamic / Changing Data
  • Bin Size and Bin Limits (Max, Min)
  • Bin Count and Grouping Options
  • Grouping Binned Data, Classification

Ch 9 : POWER QUERY LEVEL 3

  • Creating Parameters in Power Query
  • Parameter Data Types, Default Lists
  • Static/Dynamic Lists For Parameters
  • Removing Columns and Duplicates
  • Convert Tables to List Queries
  • Linking Parameters to Queries
  • Testing Parameters and PBI Canvas
  • Multi-Valued Parameter Lists
  • Creating Lists in Power Query
  • Converting Lists to Table Data
  • Advanced Edits and Parameters
  • Data Type Conversions, Expressions
  • Columns From Examples, Indexes
  • Conditional Columns, Expressions

Ch 15 : EXCEL & RLS

  • Import and Upload Options in Excel
  • Excel Workbooks and Dashboards
  • Datasets in Excel and Dashboards
  • Using Excel Analyzer in Power BI
  • Using Excel Publisher in PBI Cloud
  • Excel Workbooks, PINS in Power BI
  • Excel ODC Connections, Power Pivot
  • Row Level Security (RLS) with DAX
  • Need for RLS in Power BI Cloud
  • Data Modeling in Power BI Desktop
  • DAX Roles Creation and Testing
  • Adding Power BI Users to Roles
  • Custom Visualizations in Cloud
  • Histogram,Gantt Chart,Infographics

Ch 4 : Hierarchies, Filters

  • Creating Hierarchies in Power BI
  • Independent Drill-Down Options
  • Dependant Drill-Down Options
  • Conditional Drilldowns, Data Points
  • Drill Up Buttons and Operations
  • Expand & Show Next Level Options
  • Dynamic Data Drills Limitations
  • Show Data and See Records
  • Filters : Types and Usage in Real-time
  • Visual Filter, Page Filter, Report Filter
  • Basic, Advanced and TOP N Filters
  • Category and Summary Level Filters
  • DrillThru Filters, Drill Thru Reports
  • Keep All Filters" Options in DrillThru
  • CrossReport Filters, Include, Exclude

Ch 10 : DAX Functions - Level 1

  • DAX : Importance in Real-time
  • Real-world usage of Excel, DAX
  • DAX Architecture, Entity Sets
  • DAX Data Types, Syntax Rules
  • DAX Measures and Calculations
  • ROW Context and Filter Context
  • DAX Operators, Special Characters
  • DAX Functions, Types in Real-time
  • Vertipaq Engine, DAX Cheat Sheet
  • Creating, Using Measures with DAX
  • Creating, Using Columns with DAX
  • Quick Measures and Summaries
  • Validation Errors, Runtime Errors
  • SUM, AVERAGEX, KEEPFILTERS
  • Dynamic Expressions, IF in DAX

Ch 16 : Report Server, RDL

  • Need for Report Server in PROD
  • Install, Configure Report Server
  • Report Server DB, Temp Database
  • Webservice URL, Webportal URL
  • Creating Hybrid Cloud with Power BI
  • Using Power BI DesktopRS
  • Uploading Interactive Reports
  • Report Builder For Report Server
  • Report Builder For Power BI Cloud
  • Designing Paginated Reports (RDL)
  • Deploy to Power BI Report Server
  • Data Source Connections, Report
  • Power BI Report Server to Cloud
  • Tenant IDs Generation and Use
  • Mobile Report Publisher, Usage

Ch 5 : Bookmarks, Azure, Modeling

  • Drill-thru Filters, Page Navigations
  • Bookmarks : Real-time Usage
  • Bookmarks for Visual Filters
  • Bookmarks for Page Navigations
  • Selection Pane with Bookmarks
  • Buttons, Images with Actions
  • Buttons, Actions and Text URLs
  • Bookmarks View & Selection Pane
  • OLTP Databases, Big Data Sources
  • Azure Database Access, Reports
  • Import & Direct Query with Power BI
  • SQL Queries and Enter Data
  • Data Modeling : Currency, Relations
  • Summary, Format, Synonyms
  • Web View & Mobile View in PBI

Ch 11 : DAX Functions - Level 2

  • Data Modeling Options in DAX
  • Detecting Relations for DAX
  • Using Calculated Columns in DAX
  • Using Aggregated Measures in DAX
  • Working with Facts & Measures
  • Modeling : Missing Relations
  • Modeling : Relation Management
  • CALCULATE Function Conditions
  • CALCULATE & ALL Member Scope
  • RELATED & COUNTROWS in DAX
  • Entity Sets and Slicing in DAX
  • Dynamic Expressions, RETURN
  • Date, Time and Text Functions
  • Logical, Mathematical Functions
  • Running Total & EARLIER Function

Ch 17: MSBI Integrations

  • Power BI with SQL Server Source
  • Power BI with SQL Data Warehouse
  • Power BI with SSAS OLAP Server
  • Power BI with Azure SQL DB Source
  • Power BI with Azure SQL Warehouse
  • Power BI with Azure Analysis Server
  • Power BI with SSRS (RDL) Reports
  • Power BI Report Builder Tool
  • Installation & Configuration
  • Paginated Reports Design, Use
  • Data Sources, Datasets, RDL
  • Report Publish (RDL) to Cloud
  • Report Verifications, Data Sync
  • Interactive Vs Paginated Reports
  • Creating, Managing Alerts in Cloud

Ch 6 : Visualization Properties

  • Stacked Charts and Clustered Charts
  • Line Charts, Area Charts, Bar Charts
  • 100% Stacked Bar & Column Charts
  • Map Visuals: Tree, Filled, Bubble
  • Cards, Funnel, Table, Matrix
  • Scatter Chart : Play Axis, Labels
  • Series Clusters & Selections
  • Waterfall Chart and ArcGIS Maps
  • Infographics, Icons and Labels
  • Color Saturation, Sentiment Colors
  • Column Series, Column Axis in Lines
  • Join Types : Round, Bevel, Miter
  • Shapes, Markers, Axis, Plot Area
  • Display Units,Data Colors,Shapes
  • Series, Custom Series and Legends

Ch 12 : DAX FUNCTIONS Level 3

  • 1:1, 1:M and M:1 Relations
  • Connection with CSV, MS Access
  • AVERAGEX and AVERAGE in DAX
  • KEEPFILTERS and CALCUALTE
  • COUNTROWS, RELATED, DIVIDE
  • PARALLELPERIOD, DATEDADD
  • CALCULATE & PREVIOUSMONTH
  • USERELATIONSHIP, DAX Variables
  • TOTALYTD , TOTALQTD
  • DIVIDE, CALCULATE, Conditions
  • IF..ELSE..THEN Statement
  • SELECTEDVALUE, FORMAT
  • SUM, DATEDIFF Examples in DAX
  • TODAY, DATE, DAY with DAX
  • Time Intelligence Functions - DAX

Ch 18 : REAL-TIME PROJECT
  • Project Requirement Analysis
  • Implementing SDLC Phases
  • Requirement Gathering, FSA
Phase 1:
  • PBIX Report Design
  • Visualizations, Properties
  • Analytics and Formating
Phase 2:
  • Data Modeling, Power Query
  • Dynamic Connections, Azure DB
  • Parameters and M Lang Scripts
Phase 3:
  • DAX Requriements, Analysis
  • Cloud and Report Server
  • Project FAQs and Solutions
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